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Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Leverage Machine Learning APIs to build smart applications

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788623025
Length 368 pages
Edition 2nd Edition
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Author (1):
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Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services 2. Analyzing Images to Recognize a Face FREE CHAPTER 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speaking with Your Application 6. Understanding Text 7. Extending Knowledge Based on Context 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces 11. LUIS Entities and Additional Information on Linguistic Analysis 12. License Information

Training a model

Now that we have a working model, it is time to put it into action.

Training and publishing the model

The first step to using the model is to make sure the model has some utterances to work with. As we have seen, we have added one utterance per intent for now. Before we deploy the application, we need more.

Think of three to four different ways to set or get the room temperature and add them, specifying the entities and intents. Also, add a couple of utterances that fall into the None intent, just for reference.

When we have added new utterances, we need to train the model. Doing so will make LUIS develop code to recognize relevant entities and intents in the future. This process is done periodically; however...

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